Alcoholic Brain State Identification from Brain Signals Using Support Vector Machine-Based Algorithm
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Siuly, Siuly 
ORCID: https://orcid.org/0000-0003-2491-0546, Kabir, E, Wang, Hua ORCID: https://orcid.org/0000-0002-8465-0996, Whittaker, Frank ORCID: https://orcid.org/0000-0002-3728-0291 and Kuang, H
(2019)
Alcoholic Brain State Identification from Brain Signals Using Support Vector Machine-Based Algorithm.
In: International Joint Conference on Computational Intelligence (IJCCI 2018), 14 Dec 2018 - 15 Dec 2018, Dhaka, Bangladesh.
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| Item type | Conference or Workshop Item (Paper) |
| URI | https://vuir.vu.edu.au/id/eprint/39169 |
| DOI | 10.1007/978-981-13-7564-4_22 |
| Official URL | https://link.springer.com/chapter/10.1007/978-981-... |
| ISBN | 9789811375637 (print) 9789811375644 (online) |
| Subjects | Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
| Keywords | alcoholic brain state; support vector machine; electroencephalogram; brain signal; polynomial kernel; alcoholism; algorithm |
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